Data Analytics AI Engineer

• •Design and build LLM-powered systems and data agents that improve internal capabilities.
• •Analyze large-scale datasets to surface strategic insights and define critical KPIs.
• •Evaluate and quantify the business impact of AI initiatives through experimentation.
• •Continuously monitor and refine AI models and solutions.
• •Ship and maintain production-grade analytics and AI applications.
• •Manage and influence senior business stakeholders, owning projects end-to-end.
• •Leverage AI-assisted development tools to accelerate delivery speed.

• •Competitive salary range of $156,000 - $204,000.
• •Total compensation package may include a target bonus and equity grant.
• •Generous benefits and a diverse, inclusive work environment.

#### Required

• •5+ years of experience in AI/ML engineering or a combined data analytics and AI role.
• •Strong SQL proficiency; solid Python experience is a strong plus.
• •Hands-on experience with LLMs, prompt engineering, and model evaluation pipelines.
• •Strong analytical background with experience defining KPIs.
• •Experience with CI/CD pipelines using GitLab or GitHub.
• •Demonstrated ability to own projects independently.
• •Strong cross-functional communication skills.
• •Ability to work in the NYC office ~3 days a week.

#### Nice to Have

• •Practical knowledge of Snowflake as a database agent platform.
• •Experience with dbt for analytics engineering workflows.
• •Familiarity with the digital assets, fintech, or Web3 domain.